nilearn/nilearn
Machine learning for NeuroImaging in Python
This tool helps neuroscientists and researchers analyze brain imaging data. You can input various types of brain scans (like fMRI or structural MRI) and use statistical and machine learning methods to understand brain activity, make predictions, or explore connectivity patterns. It's designed for anyone working with neuroimaging data who wants to apply advanced computational techniques.
1,370 stars and 249,329 monthly downloads. Used by 5 other packages. Actively maintained with 45 commits in the last 30 days. Available on PyPI.
Use this if you need to apply statistical models, machine learning, or connectivity analysis to brain imaging data such as fMRI or structural MRI scans.
Not ideal if you are looking for a simple viewer for brain images without advanced analytical capabilities.
Stars
1,370
Forks
648
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 13, 2026
Monthly downloads
249,329
Commits (30d)
45
Dependencies
9
Reverse dependents
5
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